Radiation-tolerant ML framework for space

E.g.

- radiation tolerant ML: do ML 'work' steps despite noise

- thermodynamic computing: drive ML work 'steps' 'through' noise

Makes you wonder if there could even be a meta level where you can isolate the noise due to radiation, and pass that as an input to the protection parameters, so you could adjust the robustness in an adaptive manner, or something. Or a diffusion model, where radiation noise is the input noise source!

[0] https://www.normalcomputing.com/post/scaling-thermodynamic-c...